Hybrid Approaches To Machine Translation

This Volume Provides An Overview Of The Field Of Hybrid Machine Translation (mt) And Presents Some Of The Latest Research Conducted By Linguists And Practitioners From Different Multidisciplinary Areas. Nowadays, Most Important Developments In Mt Are Achieved By Combining Data-driven And Rule-based Techniques. These Combinations Typically Involve Hybridization Of Different Traditional Paradigms, Such As The Introduction Of Linguistic Knowledge Into Statistical Approaches To Mt, The Incorporation Of Data-driven Components Into Rule-based Approaches, Or Statistical And Rule-based Pre- And Post-processing For Both Types Of Mt Architectures.